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Artificial intelligence in medicine : 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009 : proceedings / / Carlo Combi, Yuval Shahar, Ameen Abu-Hanna (editors)
Artificial intelligence in medicine : 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009 : proceedings / / Carlo Combi, Yuval Shahar, Ameen Abu-Hanna (editors)
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin ; ; New York : , : Springer, , [2009]
Descrizione fisica 1 online resource (454 p.)
Disciplina 610.28563
Collana Lecture notes in computer science
Soggetto topico Artificial intelligence - Medical applications
Medical informatics
Artificial intelligence
ISBN 1-282-33193-0
9786612331930
3-642-02976-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talks -- Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record -- Computer Vision: A Plea for a Constructivist View -- Temporal Reasoning and Temporal Data Mining -- Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use -- A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology -- Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval -- Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection -- Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up -- Therapy Planning, Scheduling and Guideline-Based Care -- Modeling Clinical Guidelines through Petri Nets -- Optimization of Online Patient Scheduling with Urgencies and Preferences -- Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling -- Analysing Clinical Guidelines’ Contents with Deontic and Rhetorical Structures -- A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance -- Goal-Based Decisions for Dynamic Planning -- Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients -- Case-Based Reasoning -- Feasibility of Case-Based Beam Generation for Robotic Radiosurgery -- Conversational Case-Based Reasoning in Medical Classification and Diagnosis -- Medical Imaging -- Histopathology Image Classification Using Bag of Features and Kernel Functions -- Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study -- Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach -- A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images -- Knowledge-Based and Decision-Support Systems -- Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care -- Steps on the Road to Clinical Application of Decision Support – Example TREAT -- Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing -- A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients -- A Mobile Clinical Decision Support System for Clubfoot Treatment -- An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression -- An Advanced Platform for Managing Complications of Chronic Diseases -- One Telemedical Solution in Bulgaria -- A Novel Multilingual Report Generation System for Medical Applications -- Ontologies, Terminologies and Natural Language -- CORAAL – Towards Deep Exploitation of Textual Resources in Life Sciences -- Detecting Intuitive Mentions of Diseases in Narrative Clinical Text -- Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature -- An Ontology for the Care of the Elder at Home -- Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises -- HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management -- Explaining Anomalous Responses to Treatment in the Intensive Care Unit -- Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval -- CodeSlinger: An Interactive Biomedical Ontology Browser -- Data Mining, Machine Learning, Classification and Prediction -- Subgroup Discovery in Data Sets with Multi–dimensional Responses: A Method and a Case Study in Traumatology -- A Framework for Multi-class Learning in Micro-array Data Analysis -- Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis -- Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System -- Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator -- Voice Pathology Classification by Using Features from High-Speed Videos -- Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines -- Automatic Detecting Documents Containing Personal Health Information -- Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis -- An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD -- Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis -- Mining Discriminant Sequential Patterns for Aging Brain -- The Role of Biomedical Dataset in Classification -- Online Prediction of Ovarian Cancer -- Prediction of Mechanical Lung Parameters Using Gaussian Process Models -- Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment -- Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks -- Probabilistic Modeling and Reasoning -- Causal Probabilistic Modelling for Two-View Mammographic Analysis -- Modelling Screening Mammography Images: A Probabilistic Relational Approach -- Data-Efficient Information-Theoretic Test Selection -- Gene and Protein Data -- Effect of Background Correction on Cancer Classification with Gene Expression Data -- On Quality of Different Annotation Sources for Gene Expression Analysis -- An Architecture for Automated Reasoning Systems for Genome-Wide Studies -- A Mutual Information Approach to Data Integration for Alzheimer’s Disease Patients.
Altri titoli varianti AIME 2009
Record Nr. UNINA-9910484325403321
Berlin ; ; New York : , : Springer, , [2009]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial intelligence in medicine : 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009 : proceedings / / Carlo Combi, Yuval Shahar, Ameen Abu-Hanna (editors)
Artificial intelligence in medicine : 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009 : proceedings / / Carlo Combi, Yuval Shahar, Ameen Abu-Hanna (editors)
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin ; ; New York : , : Springer, , [2009]
Descrizione fisica 1 online resource (454 p.)
Disciplina 610.28563
Collana Lecture notes in computer science
Soggetto topico Artificial intelligence - Medical applications
Medical informatics
Artificial intelligence
ISBN 1-282-33193-0
9786612331930
3-642-02976-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talks -- Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record -- Computer Vision: A Plea for a Constructivist View -- Temporal Reasoning and Temporal Data Mining -- Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use -- A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient’s Physiology -- Severity Evaluation Support for Burns Unit Patients Based on Temporal Episodic Knowledge Retrieval -- Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection -- Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up -- Therapy Planning, Scheduling and Guideline-Based Care -- Modeling Clinical Guidelines through Petri Nets -- Optimization of Online Patient Scheduling with Urgencies and Preferences -- Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling -- Analysing Clinical Guidelines’ Contents with Deontic and Rhetorical Structures -- A Hybrid Approach to Clinical Guideline and to Basic Medical Knowledge Conformance -- Goal-Based Decisions for Dynamic Planning -- Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients -- Case-Based Reasoning -- Feasibility of Case-Based Beam Generation for Robotic Radiosurgery -- Conversational Case-Based Reasoning in Medical Classification and Diagnosis -- Medical Imaging -- Histopathology Image Classification Using Bag of Features and Kernel Functions -- Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study -- Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach -- A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images -- Knowledge-Based and Decision-Support Systems -- Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care -- Steps on the Road to Clinical Application of Decision Support – Example TREAT -- Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing -- A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients -- A Mobile Clinical Decision Support System for Clubfoot Treatment -- An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression -- An Advanced Platform for Managing Complications of Chronic Diseases -- One Telemedical Solution in Bulgaria -- A Novel Multilingual Report Generation System for Medical Applications -- Ontologies, Terminologies and Natural Language -- CORAAL – Towards Deep Exploitation of Textual Resources in Life Sciences -- Detecting Intuitive Mentions of Diseases in Narrative Clinical Text -- Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature -- An Ontology for the Care of the Elder at Home -- Ontology-Based Personalization and Modulation of Computerized Cognitive Exercises -- HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management -- Explaining Anomalous Responses to Treatment in the Intensive Care Unit -- Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval -- CodeSlinger: An Interactive Biomedical Ontology Browser -- Data Mining, Machine Learning, Classification and Prediction -- Subgroup Discovery in Data Sets with Multi–dimensional Responses: A Method and a Case Study in Traumatology -- A Framework for Multi-class Learning in Micro-array Data Analysis -- Mining Safety Signals in Spontaneous Reports Database Using Concept Analysis -- Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System -- Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator -- Voice Pathology Classification by Using Features from High-Speed Videos -- Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines -- Automatic Detecting Documents Containing Personal Health Information -- Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis -- An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD -- Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis -- Mining Discriminant Sequential Patterns for Aging Brain -- The Role of Biomedical Dataset in Classification -- Online Prediction of Ovarian Cancer -- Prediction of Mechanical Lung Parameters Using Gaussian Process Models -- Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment -- Predicting the Need to Perform Life-Saving Interventions in Trauma Patients by Using New Vital Signs and Artificial Neural Networks -- Probabilistic Modeling and Reasoning -- Causal Probabilistic Modelling for Two-View Mammographic Analysis -- Modelling Screening Mammography Images: A Probabilistic Relational Approach -- Data-Efficient Information-Theoretic Test Selection -- Gene and Protein Data -- Effect of Background Correction on Cancer Classification with Gene Expression Data -- On Quality of Different Annotation Sources for Gene Expression Analysis -- An Architecture for Automated Reasoning Systems for Genome-Wide Studies -- A Mutual Information Approach to Data Integration for Alzheimer’s Disease Patients.
Altri titoli varianti AIME 2009
Record Nr. UNISA-996465834503316
Berlin ; ; New York : , : Springer, , [2009]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence in Medicine [[electronic resource] ] : 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings / / edited by Riccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Artificial Intelligence in Medicine [[electronic resource] ] : 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings / / edited by Riccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XVI, 509 p.)
Disciplina 610.28563
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Medicine
Artificial intelligence
Data mining
Health informatics
Optical data processing
Application software
Medicine/Public Health, general
Artificial Intelligence
Data Mining and Knowledge Discovery
Health Informatics
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-540-73599-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agent-Based Systems -- A Human-Machine Cooperative Approach for Time Series Data Interpretation -- MRF Agent Based Segmentation: Application to MRI Brain Scans -- R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams -- Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations -- Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy -- An Ontology-Driven Agent-Based Clinical Guideline Execution Engine -- Temporal Data Mining -- An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set -- Temporal Data Mining with Temporal Constraints -- A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease -- Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes -- Discovery and Integration of Organ-Failure Episodes in Mortality Prediction -- Machine Learning and Knowledge Discovery -- Contrast Set Mining for Distinguishing Between Similar Diseases -- Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease -- Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing -- Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine -- Interpreting Gene Expression Data by Searching for Enriched Gene Sets -- Variable Selection for Optimal Decision Making -- Supporting Factors in Descriptive Analysis of Brain Ischaemia -- Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences -- Machine Learning Techniques for Decision Support in Anesthesia -- Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring -- Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization -- An Integrated IT System for Phenotypic and Genotypic Data Mining and Management -- Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us -- A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile -- Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants -- Multi-level Clustering in Sarcoidosis: A Preliminary Study -- Text Mining, Natural Language Processing and Generation -- An Experiment in Automatic Classification of Pathological Reports -- Literature Mining: Towards Better Understanding of Autism -- Automatic Generation of Textual Summaries from Neonatal Intensive Care Data -- Anonymisation of Swedish Clinical Data -- MetaCoDe: A Lightweight UMLS Mapping Tool -- Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique -- Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents -- Extracting Specific Medical Data Using Semantic Structures -- Ontologies -- Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data -- Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus -- Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators -- Building an Ontology of Hypertension Management -- Analyzing Differences in Operational Disease Definitions Using Ontological Modeling -- Decision Support Systems -- Adaptive Optimization of Hospital Resource Calendars -- On the Behaviour of Information Measures for Test Selection -- Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm -- Enhancing Automated Test Selection in Probabilistic Networks -- ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery -- Content Collection for the Labelling of Health-Related Web Content -- Bayesian Network Decomposition for Modeling Breast Cancer Detection -- A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams -- Computer-Aided Assessment of Drug-Induced Lung Disease Plausibility -- Applications of AI-Based Image Processing Techninques -- Segmentation Techniques for Automatic Region Extraction: An Application to Aphasia Rehabilitation -- A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification -- A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model -- Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis -- Protocols and Guidelines -- Formalizing ‘Living Guidelines’ Using LASSIE: A Multi-step Information Extraction Method -- The Role of Model Checking in Critiquing Based on Clinical Guidelines -- Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis -- Document-Oriented Views of Guideline Knowledge Bases -- Maintaining Formal Models of Living Guidelines Efficiently -- A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data -- Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems -- Inference in the Promedas Medical Expert System -- Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow -- Workflow Systems -- Querying Clinical Workflows by Temporal Similarity -- Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic -- Induction of Partial Orders to Predict Patient Evolutions in Medicine -- Interacting Agents for the Risk Assessment of Allergies in Newborn Babies.
Record Nr. UNINA-9910484223003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence in Medicine [[electronic resource] ] : 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings / / edited by Riccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Artificial Intelligence in Medicine [[electronic resource] ] : 11th Conference on Artificial Intelligence in Medicine in Europe, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings / / edited by Riccardo Bellazzi, Ameen Abu-Hanna, Jim Hunter
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XVI, 509 p.)
Disciplina 610.28563
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Medicine
Artificial intelligence
Data mining
Health informatics
Optical data processing
Application software
Medicine/Public Health, general
Artificial Intelligence
Data Mining and Knowledge Discovery
Health Informatics
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-540-73599-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agent-Based Systems -- A Human-Machine Cooperative Approach for Time Series Data Interpretation -- MRF Agent Based Segmentation: Application to MRI Brain Scans -- R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams -- Knowledge-Based Modeling and Simulation of Diseases with Highly Differentiated Clinical Manifestations -- Co-operative Agents in Analysis and Interpretation of Intracerebral EEG Activity: Application to Epilepsy -- An Ontology-Driven Agent-Based Clinical Guideline Execution Engine -- Temporal Data Mining -- An Intelligent Aide for Interpreting a Patient’s Dialysis Data Set -- Temporal Data Mining with Temporal Constraints -- A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease -- Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes -- Discovery and Integration of Organ-Failure Episodes in Mortality Prediction -- Machine Learning and Knowledge Discovery -- Contrast Set Mining for Distinguishing Between Similar Diseases -- Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease -- Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing -- Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine -- Interpreting Gene Expression Data by Searching for Enriched Gene Sets -- Variable Selection for Optimal Decision Making -- Supporting Factors in Descriptive Analysis of Brain Ischaemia -- Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences -- Machine Learning Techniques for Decision Support in Anesthesia -- Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring -- Monitoring Human Resources of a Public Health-Care System Through Intelligent Data Analysis and Visualization -- An Integrated IT System for Phenotypic and Genotypic Data Mining and Management -- Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us -- A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile -- Novel Features for Automated Lung Function Diagnosis in Spontaneously Breathing Infants -- Multi-level Clustering in Sarcoidosis: A Preliminary Study -- Text Mining, Natural Language Processing and Generation -- An Experiment in Automatic Classification of Pathological Reports -- Literature Mining: Towards Better Understanding of Autism -- Automatic Generation of Textual Summaries from Neonatal Intensive Care Data -- Anonymisation of Swedish Clinical Data -- MetaCoDe: A Lightweight UMLS Mapping Tool -- Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique -- Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents -- Extracting Specific Medical Data Using Semantic Structures -- Ontologies -- Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data -- Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus -- Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators -- Building an Ontology of Hypertension Management -- Analyzing Differences in Operational Disease Definitions Using Ontological Modeling -- Decision Support Systems -- Adaptive Optimization of Hospital Resource Calendars -- On the Behaviour of Information Measures for Test Selection -- Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm -- Enhancing Automated Test Selection in Probabilistic Networks -- ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery -- Content Collection for the Labelling of Health-Related Web Content -- Bayesian Network Decomposition for Modeling Breast Cancer Detection -- A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams -- Computer-Aided Assessment of Drug-Induced Lung Disease Plausibility -- Applications of AI-Based Image Processing Techninques -- Segmentation Techniques for Automatic Region Extraction: An Application to Aphasia Rehabilitation -- A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification -- A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model -- Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis -- Protocols and Guidelines -- Formalizing ‘Living Guidelines’ Using LASSIE: A Multi-step Information Extraction Method -- The Role of Model Checking in Critiquing Based on Clinical Guidelines -- Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis -- Document-Oriented Views of Guideline Knowledge Bases -- Maintaining Formal Models of Living Guidelines Efficiently -- A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data -- Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems -- Inference in the Promedas Medical Expert System -- Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow -- Workflow Systems -- Querying Clinical Workflows by Temporal Similarity -- Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic -- Induction of Partial Orders to Predict Patient Evolutions in Medicine -- Interacting Agents for the Risk Assessment of Allergies in Newborn Babies.
Record Nr. UNISA-996466372503316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui